Neural Nexus – Data Steward, Data & AI Enablement (AuRA)

Career Category

Sales & Marketing Operations

Job Description

Neural Nexus – Manager, Data & AI Enablement (AuRA) (L5)

Location: India

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas – Oncology, Inflammation, General Medicine, and Rare Disease – we reach millions of patients each year.

As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller, happier lives.

Our award-winning culture is collaborative, innovative, and science-based. If you have a passion for challenges and the opportunities that lie within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

What You Will Do

Let’s do this. Let’s change the world.

In this vital role within Neural Nexus – AI Data Enablement (AuRA) , you will be responsible for the execution and delivery of AI-enabled data foundations and data products that power commercial analytics and AI use cases across Amgen.

This is a hands-on execution and delivery leadership role , focused on building, operationalizing, and managing scalable, governed, AI-ready data solutions . You will own delivery of assigned workstreams end-to-end, ensuring solutions are implemented on time, meet quality standards, and drive measurable business value.

You will also play a key role in ensuring data stewardship, governance, and FAIR-aligned data practices , enabling trusted and reusable data assets across AuRA.

Key Responsibilities

1. End-to-End Delivery of Data & AI Enablement Workstreams

• •Lead execution of AuRA data enablement workstreams from intake, design, and development through deployment and operationalization.
• •Deliver AI-enabled data products and pipelines that support commercial analytics and downstream applications.
• •Ensure solutions are delivered on time, within scope, and aligned to business requirements .
• •Coordinate readiness activities including UAT, access provisioning, documentation, and production handoff .

2. Data Platform Implementation & AI Readiness

• •Implement and scale AI-ready data foundations within AuRA , integrating structured and unstructured data sources.
• •Build and manage reliable, scalable data pipelines with appropriate monitoring, logging, and versioning.
• •Support development of reusable capabilities such as:
• •Data models and curated data layers
• •Metadata, tagging, and taxonomy frameworks
• •Data discoverability and access enablement

Ensure data is optimized for performance, usability, and downstream analytics/AI consumption .

3. Data Governance, Stewardship & Quality

• •Enforce data governance practices including:
• •Data ownership and stewardship
• •Data lineage and traceability
• •Role-based access controls

• •Ensure adherence to FAIR principles (Findable, Accessible, Interoperable, Reusable) and Clean Core alignment .
• •Drive data quality processes (QC, MDM, affiliation) to ensure data is business-ready and trusted.

4. Program Execution & Workstream Management

• •Manage multiple concurrent workstreams with clear ownership of:
• •Scope, timelines, risks, and dependencies

• •Drive structured program execution using agile and project management best practices .
• •Identify and proactively mitigate delivery risks and bottlenecks .
• •Track and report on delivery health, milestones, and progress .

5. Cross-Functional Collaboration

• •Partner with Commercial, CD&A, Analytics, Technology, and Engineering teams to deliver data solutions aligned to business priorities.
• •Act as a bridge between business stakeholders and technical teams , ensuring clarity in requirements and execution.
• •Coordinate across teams to maintain execution alignment and delivery velocity .

6. Adoption & Value Realization

• •Enable business and analytics teams to access and use trusted AuRA data products .
• •Support onboarding activities including:
• •Training sessions
• •Documentation and data product guides
• •Working sessions with end users

Track adoption, usage, and value realization metrics to measure impact.

7. Continuous Improvement & Change Management

• •Support change management by ensuring readiness of processes, documentation, and communication .
• •Gather feedback from users and stakeholders to improve data products and delivery processes.
• •Contribute to building repeatable, scalable delivery frameworks for AuRA data enablement.

What We Expect of You

Preferred Qualifications

• •Strong experience in data platform implementation and data enablement delivery
• •Experience working with commercial pharma datasets (CRM, claims, HCP/HCO, patient data) preferred
• •Solid understanding of:
• •Data pipelines (ETL/ELT), data modeling, and data integration
• •Data governance, MDM, affiliation, and data quality frameworks
• •AI/ML data requirements and data readiness

• •Experience with modern data platforms (e.g., Snowflake, Databricks, Airflow ) and cloud environments
• •Proven ability to manage multiple concurrent workstreams and complex dependencies
• •Strong program management and execution skills
• •Ability to translate business needs into scalable data solutions
• •Strong communication and stakeholder management skills

Why This Role Matters

This role is critical to advancing AuRA as a scalable, AI-ready data enablement layer within Neural Nexus , enabling:

• •Faster delivery of high-quality commercial data
• •Scalable and reusable data products
• •Improved efficiency of analytics and AI-driven use cases

Your work will directly contribute to how Amgen leverages data to improve decision-making and ultimately serve patients better.

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